T – Subsets 
==The resolution designates the population in question as “Sub Saharan Africa”== 
**Oxford English Dictionary, 1989** (online) 

**__to,__** //prep., conj., adv.// 
**9.** __Indicating destination__, or an appointed or expected end or event. (After //ready//, //prepared//, etc., //for// is now substituted.) 
==Sub Saharan Africa refers to the __region__== 
**Princeton University WordNet. 2006** (http://dictionary.reference.com/search?q=sub-saharan+africa&r=66 

__sub-saharan__ __Africa__ noun 
__the region of__ __Africa__ __to the south of the__ __Sahara__ __Desert__ 
==B. VIOLATION – The aff targets an individual country, not the entire population. The only topical affirmative is that which makes assistance available to all members of Sub Saharan Africa who are threatened by a public health problem.== 
==C. VOTE NEG== 

1. Limits – their interpretation massively increases our research burden – if they can target specific areas within Sub-Saharan Africa, we have to research 48 times as many affs – one for every single country.  

2. Ground – it’s impossible for the negative to get generics that link to tiny countries – all the core negative ground like politics and international aid CPs assume generic assistance to Sub-Saharan Africa in general. They don’t have to fiat all 48 countries, but the assistance they provide has to be available to everyone in Sub-Sahara. 

3. Potential abuse is a voting issue, their interpretation opens the floodgates and overstretches our research limits 